Refining Underwater Target Localization and Tracking Estimates

Improving the accuracy and reliability of the localization estimates and tracking of underwatertargets is a constant quest in ocean surveillance operations. The localization estimates may varyowing to various noises and interferences such as sensor errors and environmental noises. Eventhough adaptive filters like the Kalman filter subdue these problems and yield dependable results,targets that undergo maneuvering can cause incomprehensible errors, unless suitable correctivemeasures are implemented. Simulation studies on improving the localization and trackingestimates for a stationary target as well as a moving target including the maneuvering situationsare presented in this paper.